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The Application of Filtered Transforms to the General Classification Problem
July 1972 (vol. 21 no. 7)
pp. 785-790
J.W. Carl, Mathematics and Analysis Branch, Aerospace Medical Research Laboratories, Wright-Patterson Air Force Base
An image classification model based on nearest prototypes in filtered Fourier and Walsh transform domains is presented. A computer simulation of the model applied to handwritten English letters, Russian letters, numerals, and electromagnetic signals is also presented. Experiments to date fail to refute the working hypothesis that generalized harmonic analysis can be used to reliably classify alphabet characters, time-varying signals, and other images.
Index Terms:
Feature extraction, Fourier transform, Hadamard transform, image classification, image processing, pattern recognition, Walsh transform.
Citation:
J.W. Carl, C.F. Hall, "The Application of Filtered Transforms to the General Classification Problem," IEEE Transactions on Computers, vol. 21, no. 7, pp. 785-790, July 1972, doi:10.1109/T-C.1972.223582
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